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Stock Return Dynamics Under Earnings Management

  • Xiaotong Wang
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    This paper explores how earnings management influences asset returns and return volatility via real economic activity. In the model, firms smooth earnings via the costly and economically suboptimal intertemporal transfer of assets and liabilities. As a result, the firm's stock return follows a process that conforms to an EGARCH-like statistical model. The key idea is that real earnings management generates an unobservable cost, and the market has to infer the underlying wealth of the firm from the smoothed reported earnings series. This framework may help explain why asset returns underreact to good news and overreact to bad news, while no news is always good news to the market. Empirical evidence that earnings innovations impact future return volatility, in line with the model's predictions, is found in the data.

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    File URL: http://icfpub.som.yale.edu/publications/2633
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    Paper provided by Yale School of Management in its series Yale School of Management Working Papers with number amz2633.

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    Date of creation: 01 Dec 2005
    Date of revision: 01 Jul 2006
    Handle: RePEc:ysm:somwrk:amz2633
    Contact details of provider: Web page: http://icf.som.yale.edu/

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    1. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. " On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    2. Paul A. Gompers & Joy L. Ishii & Andrew Metrick, 2001. "Corporate Governance and Equity Prices," NBER Working Papers 8449, National Bureau of Economic Research, Inc.
    3. John R. Graham & Campbell R. Harvey & Shiva Rajgopal, 2004. "The Economic Implications of Corporate Financial Reporting," NBER Working Papers 10550, National Bureau of Economic Research, Inc.
    4. Timothy C. Johnson, 2001. "Return Dynamics when Persistence is Unobservable," Mathematical Finance, Wiley Blackwell, vol. 11(4), pages 415-445.
    5. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-70, March.
    6. Robert F. Engle & Victor K. Ng, 1991. "Measuring and Testing the Impact of News on Volatility," NBER Working Papers 3681, National Bureau of Economic Research, Inc.
    7. Pagan, Adrian R. & Schwert, G. William, 1990. "Alternative models for conditional stock volatility," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 267-290.
    8. Robert Engle, 2004. "Risk and Volatility: Econometric Models and Financial Practice," American Economic Review, American Economic Association, vol. 94(3), pages 405-420, June.
    9. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    10. Bekaert, Geert & Wu, Guojun, 2000. "Asymmetric Volatility and Risk in Equity Markets," Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 1-42.
    11. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
    12. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    13. repec:cup:cbooks:9780521321969 is not listed on IDEAS
    14. Veronesi, Pietro, 1999. "Stock Market Overreaction to Bad News in Good Times: A Rational Expectations Equilibrium Model," Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 975-1007.
    15. Brennan, Michael J. & Subrahmanyam, Avanidhar, 1995. "Investment analysis and price formation in securities markets," Journal of Financial Economics, Elsevier, vol. 38(3), pages 361-381, July.
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